[Hiring] Senior Data Architect @Truelogic

Role Description

We are seeking a Senior Data Architect to design and optimize scalable data structures for complex analytical and business use cases. This role focuses on:

• Snowflake architecture
• Data modeling
• Query performance
• Landing patterns
• Governance
• Efficient data consumption across distributed environments

The ideal candidate will translate business requirements into accessible, high-performing datasets while partnering with Data Engineering, Data Science, Analytics, and business stakeholders. Success requires strong architectural judgment, advanced SQL expertise, and hands-on experience managing large-scale modern data platforms effectively.

Qualifications

• Senior-level experience in Data Architecture, Data Engineering, or Database Architecture
• Deep hands-on expertise with Snowflake
• Advanced knowledge of data modeling, dataset design, query optimization, and analytical architectures
• Experience designing scalable platforms for large or complex datasets
• Strong understanding of Snowflake clustering, permissions, performance optimization, and data governance
• Advanced SQL skills and strong relational database fundamentals
• Understanding of modern data pipelines and microservice-based architectures
• Ability to translate business and analytical requirements into efficient, accessible, and scalable data structures

Requirements

• Design scalable datasets optimized for analytics, reporting, and business consumption
• Review existing data structures and identify opportunities to improve query performance
• Define effective data landing patterns based on analytical, product, and operational requirements
• Optimize Snowflake architecture, including clustering, permissions, access patterns, governance, and performance
• Determine how large and complex datasets should be structured for efficient querying and consumption
• Design analytical solutions for data distributed across microservices and multiple source systems
• Collaborate with Data Engineering, Data Science, Analytics, and business stakeholders
• Establish data-modeling and architecture standards as the organization’s data ecosystem evolves

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies